When a Deprecation Has No Shutdown Date: Re-Picking an Image Model on Three Conditions
gemini-nano-banana-2.1 went GA on October 6, and gemini-3.1-flash-image was deprecated with no shutdown date. Here is a table and a short script for choosing a replacement by resolution, reference images, and search grounding.
Three Lines Decide Who Gets Images in the Gemini App: 13, 18, and Your Administrator
When the image entry point is missing from the Gemini app, a bug is rarely the reason. Here is how the two separate age thresholds and the work or school account rules line up, and who you should actually contact.
gemini-2.5-flash-image stops on October 2, and the replacement the table names retired in June
gemini-2.5-flash-image shuts down on October 2, 2026, but the recommended replacement listed in the official table, gemini-3.1-flash-image-preview, was already retired on June 25. Here is the script I wrote to follow replacement chains to their end, and what it found across every row of the table.
After generated_images Disappeared: Three Branches Between the Response and a Saved File
Once you switch to generate_content, the line that breaks is usually the save. Here are the three branches on the response side - zero image parts, a shifting image count, and picking the extension - plus a receiver function you can drop in.
generate_images Survives Until 2027. Your Image Generation Still Stops on August 17
google-genai 2.18.1 still ships generate_images, and the SDK deprecation notice points at 2027. The imagen-4.0 models, meanwhile, shut down on August 17. Here is what those two deadlines actually mean, measured on my own machine.
Rewriting generate_images as generate_content, where the arguments actually go
Ahead of the August 17 Imagen shutdown, I checked the SDK directly: of the 17 arguments in GenerateImagesConfig, only 5 move across unchanged. Here is the mapping, a compatibility layer that keeps callers working, and a way to verify the request shape without an API key.
Splitting Bulk Image Generation Cost in Two with Nano Banana 2 Lite: A Draft-and-Render Design
A two-tier cost design that routes first-pass generation to Nano Banana 2 Lite and final renders to the standard Nano Banana 2, with a minimal Python router you can adapt.
"No Watermark Detected" Doesn't Mean It Isn't AI — The Asymmetry of SynthID
Images generated with Gemini carry a SynthID watermark. But a positive result and a negative result don't carry the same weight, and that asymmetry changes how you should track provenance.
Images Made With a Retiring Model Can Never Be Made Again — Tracking Regenerability in a Ledger
When Gemini's image generation models shut down on August 17, the assets you made with them can no longer be reproduced the same way. Here is the ledger design and code I use to decide, before the deadline, which assets are regenerable and which must be frozen.
Designing Batch Image Costs with Nano Banana 2 Lite: Decide by Measuring
How to fold the fastest, cheapest image model, Nano Banana 2 Lite, into high-volume generation: measuring per-image cost, a two-tier setup with a quality model, and retry handling grounded in real numbers.
Before the August 17 Gemini Image Model Shutdown: Inventory Where You Actually Call Them First
Some Gemini image generation models retire on August 17. Before choosing a replacement, here is how to inventory which models are actually being called, and from where, using your request logs.
Putting Gemini image generation to work: from prompt design to thumbnails generated from video
A practical playbook for running Gemini image generation as a repeatable workflow instead of a lucky dip. From decomposing prompts into reproducible parts to the video-to-image automation unlocked by the Nano Banana 2 GA, with working code, a pre-publish quality gate, and a design that survives preview shutdowns.